Stanford researcher develop an algorithm that can detect pneumonia from chest X-rays at a level exceeding practicing radiologists. The model, CheXNet, is a 121-layer convolutional neural network that inputs a chest X-ray image and outputs the probability of pneumonia along with a heatmap localizing the areas of the image most indicative of pneumonia.